Pandas Profiling Report

Dataset statistics

Number of variables	17
Number of observations	46428
Missing cells	18400
Missing cells (%)	2.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.0 MiB
Average record size in memory	136.0 B

Variable types

Numeric	11
Categorical	5
DateTime	1

Warnings

`name` has a high cardinality: 45489 distinct values	High cardinality
`host_name` has a high cardinality: 11081 distinct values	High cardinality
`neighbourhood` has a high cardinality: 219 distinct values	High cardinality
`df_index` is highly correlated with `id`	High correlation
`id` is highly correlated with `df_index`	High correlation
`last_review` has 9182 (19.8%) missing values	Missing
`reviews_per_month` has 9182 (19.8%) missing values	Missing
`minimum_nights` is highly skewed (γ1 = 21.79076237)	Skewed
`name` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`id` has unique values	Unique
`number_of_reviews` has 9182 (19.8%) zeros	Zeros
`availability_365` has 17005 (36.6%) zeros	Zeros

Reproduction

Analysis started	2023-04-27 07:28:23.935200
Analysis finished	2023-04-27 07:28:39.757893
Duration	15.82 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	46428
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	24313.23591
Minimum	0
Maximum	48894
Zeros	1
Zeros (%)	< 0.1%
Memory size	362.8 KiB

Quantile statistics

Minimum	0
5-th percentile	2428.35
Q1	12176.75
median	24264.5
Q3	36383.25
95-th percentile	46373.3
Maximum	48894
Range	48894
Interquartile range (IQR)	24206.5

Descriptive statistics

Standard deviation	14042.69692
Coefficient of variation (CV)	0.5775741643
Kurtosis	-1.188349436
Mean	24313.23591
Median Absolute Deviation (MAD)	12103.5
Skewness	0.009876485015
Sum	1128814917
Variance	197197336.6
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
39558	1	< 0.1%
10896	1	< 0.1%
8849	1	< 0.1%
14994	1	< 0.1%
12947	1	< 0.1%
2708	1	< 0.1%
6806	1	< 0.1%
4759	1	< 0.1%
27288	1	< 0.1%
Other values (46418)	46418	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Value	Count	Frequency (%)
48894	1	< 0.1%
48893	1	< 0.1%
48892	1	< 0.1%
48891	1	< 0.1%
48890	1	< 0.1%

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	46428
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	18918078.01
Minimum	2539
Maximum	36487245
Zeros	0
Zeros (%)	0.0%
Memory size	362.8 KiB

Quantile statistics

Minimum	2539
5-th percentile	1209898.9
Q1	9445461.25
median	19544622
Q3	28937773.5
95-th percentile	35225452.3
Maximum	36487245
Range	36484706
Interquartile range (IQR)	19492312.25

Descriptive statistics

Standard deviation	10931202.2
Coefficient of variation (CV)	0.5778177992
Kurtosis	-1.219101857
Mean	18918078.01
Median Absolute Deviation (MAD)	9799792.5
Skewness	-0.08074382881
Sum	8.78328526 × 10¹¹
Variance	1.194911816 × 10¹⁴
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32493112	1	< 0.1%
19274358	1	< 0.1%
20015736	1	< 0.1%
4809337	1	< 0.1%
16929407	1	< 0.1%
5941888	1	< 0.1%
31337900	1	< 0.1%
15970947	1	< 0.1%
22929141	1	< 0.1%
28842166	1	< 0.1%
Other values (46418)	46418	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2539	1	< 0.1%
2595	1	< 0.1%
3647	1	< 0.1%
3831	1	< 0.1%
5022	1	< 0.1%

Value	Count	Frequency (%)
36487245	1	< 0.1%
36485609	1	< 0.1%
36485431	1	< 0.1%
36485057	1	< 0.1%
36484665	1	< 0.1%

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	45489
Distinct (%)	98.0%
Missing	15
Missing (%)	< 0.1%
Memory size	362.8 KiB

Hillside Hotel	18
Home away from home	17
New york Multi-unit building	13
Brooklyn Apartment	12
Loft Suite @ The Box House Hotel	11
Other values (45484)	46342

Length

Max length	179
Median length	36
Mean length	36.76734966
Min length	1

Characters and Unicode

Total characters	1706483
Distinct characters	768
Distinct categories	20 ?
Distinct scripts	11 ?
Distinct blocks	17 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44878 ?
Unique (%)	96.7%

Sample

1st row	Clean & quiet apt home by the park
2nd row	Skylit Midtown Castle
3rd row	THE VILLAGE OF HARLEM....NEW YORK !
4th row	Cozy Entire Floor of Brownstone
5th row	Entire Apt: Spacious Studio/Loft by central park

Value	Count	Frequency (%)
Hillside Hotel	18	< 0.1%
Home away from home	17	< 0.1%
New york Multi-unit building	13	< 0.1%
Brooklyn Apartment	12	< 0.1%
Loft Suite @ The Box House Hotel	11	< 0.1%
Private Room	11	< 0.1%
Private room	10	< 0.1%
Artsy Private BR in Fort Greene Cumberland	10	< 0.1%
Private room in Brooklyn	8	< 0.1%
Private room in Williamsburg	8	< 0.1%
Other values (45479)	46295	99.7%
(Missing)	15	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
in	16203	5.7%
room	9976	3.5%
	7815	2.8%
bedroom	7283	2.6%
private	7022	2.5%
apartment	6461	2.3%
cozy	4946	1.8%
apt	4410	1.6%
brooklyn	3918	1.4%
studio	3897	1.4%
Other values (11921)	210490	74.5%

Most occurring characters

Value	Count	Frequency (%)
	237569	13.9%
e	117726	6.9%
o	116911	6.9%
t	100052	5.9%
a	98692	5.8%
r	93300	5.5%
i	90377	5.3%
n	90086	5.3%
l	48969	2.9%
m	47334	2.8%
Other values (758)	665467	39.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1146598	67.2%
Uppercase Letter	251883	14.8%
Space Separator	237573	13.9%
Other Punctuation	31772	1.9%
Decimal Number	22880	1.3%
Dash Punctuation	6440	0.4%
Other Letter	2536	0.1%
Math Symbol	2412	0.1%
Close Punctuation	1470	0.1%
Open Punctuation	1331	0.1%
Other values (10)	1588	0.1%

Most frequent character per category

Value	Count	Frequency (%)
房	81	3.2%
家	46	1.8%
中	44	1.7%
间	41	1.6%
的	38	1.5%
拉	36	1.4%
法	35	1.4%
盛	35	1.4%
约	29	1.1%
大	29	1.1%
Other values (518)	2122	83.7%

Value	Count	Frequency (%)
e	117726	10.3%
o	116911	10.2%
t	100052	8.7%
a	98692	8.6%
r	93300	8.1%
i	90377	7.9%
n	90086	7.9%
l	48969	4.3%
m	47334	4.1%
s	45537	4.0%
Other values (57)	297614	26.0%

Value	Count	Frequency (%)
★	212	27.0%
❤	155	19.8%
☆	105	13.4%
♥	37	4.7%
⭐	34	4.3%
✨	30	3.8%
❥	25	3.2%
✿	15	1.9%
☀	15	1.9%
✰	14	1.8%
Other values (45)	142	18.1%

Value	Count	Frequency (%)
B	28028	11.1%
S	24719	9.8%
C	19963	7.9%
A	18361	7.3%
R	16833	6.7%
P	13884	5.5%
E	13057	5.2%
L	12914	5.1%
M	11116	4.4%
N	10812	4.3%
Other values (33)	82196	32.6%

Value	Count	Frequency (%)
,	8742	27.5%
!	7439	23.4%
/	4768	15.0%
.	4151	13.1%
&	3043	9.6%
'	1026	3.2%
*	835	2.6%
:	552	1.7%
#	501	1.6%
"	278	0.9%
Other values (11)	437	1.4%

Value	Count	Frequency (%)
+	1223	50.7%
\|	858	35.6%
~	247	10.2%
=	32	1.3%
>	19	0.8%
<	19	0.8%
￫	6	0.2%
⋆	4	0.2%
√	2	0.1%
×	1	< 0.1%

Value	Count	Frequency (%)
1	8327	36.4%
2	6019	26.3%
3	2159	9.4%
5	1919	8.4%
0	1870	8.2%
4	1080	4.7%
6	503	2.2%
7	408	1.8%
8	366	1.6%
9	229	1.0%

Value	Count	Frequency (%)
(	1278	96.0%
[	35	2.6%
{	8	0.6%
【	8	0.6%
《	2	0.2%

Value	Count	Frequency (%)
)	1416	96.3%
]	36	2.4%
}	8	0.5%
】	8	0.5%
》	2	0.1%

Value	Count	Frequency (%)
-	6374	99.0%
—	41	0.6%
–	24	0.4%
―	1	< 0.1%

Value	Count	Frequency (%)
^	9	56.2%
`	4	25.0%
´	3	18.8%

Value	Count	Frequency (%)
ﾞ	21	56.8%
ｰ	11	29.7%
ﾟ	5	13.5%

Value	Count	Frequency (%)
	237569	> 99.9%
	4	< 0.1%

Value	Count	Frequency (%)
’	188	83.6%
”	37	16.4%

Value	Count	Frequency (%)
️	150	91.5%
︎	14	8.5%

Value	Count	Frequency (%)
_	42	97.7%
‿	1	2.3%

Value	Count	Frequency (%)
“	37	82.2%
‘	8	17.8%

Value	Count	Frequency (%)
$	86	100.0%

Value	Count	Frequency (%)
²	7	100.0%

Value	Count	Frequency (%)
	181	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1398278	81.9%
Common	305302	17.9%
Han	2226	0.1%
Cyrillic	191	< 0.1%
Inherited	164	< 0.1%
Katakana	136	< 0.1%
Hiragana	70	< 0.1%
Hangul	70	< 0.1%
Hebrew	31	< 0.1%
Georgian	13	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
房	81	3.6%
家	46	2.1%
中	44	2.0%
间	41	1.8%
的	38	1.7%
拉	36	1.6%
法	35	1.6%
盛	35	1.6%
约	29	1.3%
大	29	1.3%
Other values (399)	1812	81.4%

Value	Count	Frequency (%)
	237569	77.8%
,	8742	2.9%
1	8327	2.7%
!	7439	2.4%
-	6374	2.1%
2	6019	2.0%
/	4768	1.6%
.	4151	1.4%
&	3043	1.0%
3	2159	0.7%
Other values (118)	16711	5.5%

Value	Count	Frequency (%)
e	117726	8.4%
o	116911	8.4%
t	100052	7.2%
a	98692	7.1%
r	93300	6.7%
i	90377	6.5%
n	90086	6.4%
l	48969	3.5%
m	47334	3.4%
s	45537	3.3%
Other values (67)	549294	39.3%

Value	Count	Frequency (%)
한	7	10.0%
웃	3	4.3%
성	3	4.3%
스	2	2.9%
리	2	2.9%
고	2	2.9%
맨	2	2.9%
하	2	2.9%
소	2	2.9%
따	2	2.9%
Other values (38)	43	61.4%

Value	Count	Frequency (%)
а	26	13.6%
о	18	9.4%
т	17	8.9%
н	15	7.9%
е	13	6.8%
к	11	5.8%
р	11	5.8%
м	10	5.2%
с	9	4.7%
в	9	4.7%
Other values (23)	52	27.2%

Value	Count	Frequency (%)
ﾝ	14	10.3%
ｸ	12	8.8%
ﾘ	10	7.4%
ﾊ	9	6.6%
ｯ	9	6.6%
ｱ	9	6.6%
ｽ	8	5.9%
ﾄ	7	5.1%
ﾌ	6	4.4%
ｳ	6	4.4%
Other values (22)	46	33.8%

Value	Count	Frequency (%)
の	16	22.9%
で	7	10.0%
か	7	10.0%
ら	6	8.6%
お	5	7.1%
い	4	5.7%
な	4	5.7%
に	3	4.3%
き	2	2.9%
く	2	2.9%
Other values (13)	14	20.0%

Value	Count	Frequency (%)
י	5	16.1%
ו	5	16.1%
ב	4	12.9%
ר	4	12.9%
ע	2	6.5%
ת	2	6.5%
ה	2	6.5%
ד	1	3.2%
ש	1	3.2%
ל	1	3.2%
Other values (4)	4	12.9%

Value	Count	Frequency (%)
️	150	91.5%
︎	14	8.5%

Value	Count	Frequency (%)
ღ	13	100.0%

Value	Count	Frequency (%)
ॐ	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1702145	99.7%
CJK	2226	0.1%
Misc Symbols	433	< 0.1%
None	423	< 0.1%
Punctuation	396	< 0.1%
Dingbats	297	< 0.1%
Cyrillic	191	< 0.1%
VS	164	< 0.1%
Hiragana	70	< 0.1%
Hangul	70	< 0.1%
Other values (7)	68	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	237569	14.0%
e	117726	6.9%
o	116911	6.9%
t	100052	5.9%
a	98692	5.8%
r	93300	5.5%
i	90377	5.3%
n	90086	5.3%
l	48969	2.9%
m	47334	2.8%
Other values (86)	661129	38.8%

Value	Count	Frequency (%)
’	188	47.5%
•	59	14.9%
—	41	10.4%
“	37	9.3%
”	37	9.3%
–	24	6.1%
‘	8	2.0%
―	1	0.3%
‿	1	0.3%

Value	Count	Frequency (%)
⭐	34	8.0%
à	27	6.4%
ó	24	5.7%
ﾞ	21	5.0%
é	15	3.5%
｡	15	3.5%
ﾝ	14	3.3%
·	13	3.1%
ｸ	12	2.8%
ｰ	11	2.6%
Other values (69)	237	56.0%

Value	Count	Frequency (%)
️	150	91.5%
︎	14	8.5%

Value	Count	Frequency (%)
★	212	49.0%
☆	105	24.2%
♥	37	8.5%
☀	15	3.5%
♀	11	2.5%
♡	6	1.4%
♛	6	1.4%
⚓	6	1.4%
⚡	6	1.4%
⚜	4	0.9%
Other values (10)	25	5.8%

Value	Count	Frequency (%)
❤	155	52.2%
✨	30	10.1%
❥	25	8.4%
✿	15	5.1%
✰	14	4.7%
✴	11	3.7%
✪	8	2.7%
➡	5	1.7%
✌	5	1.7%
✦	4	1.3%
Other values (11)	25	8.4%

Value	Count	Frequency (%)
™	1	100.0%

Value	Count	Frequency (%)
房	81	3.6%
家	46	2.1%
中	44	2.0%
间	41	1.8%
的	38	1.7%
拉	36	1.6%
法	35	1.6%
盛	35	1.6%
约	29	1.3%
大	29	1.3%
Other values (399)	1812	81.4%

Value	Count	Frequency (%)
の	16	22.9%
で	7	10.0%
か	7	10.0%
ら	6	8.6%
お	5	7.1%
い	4	5.7%
な	4	5.7%
に	3	4.3%
き	2	2.9%
く	2	2.9%
Other values (13)	14	20.0%

Value	Count	Frequency (%)
а	26	13.6%
о	18	9.4%
т	17	8.9%
н	15	7.9%
е	13	6.8%
к	11	5.8%
р	11	5.8%
м	10	5.2%
с	9	4.7%
в	9	4.7%
Other values (23)	52	27.2%

Value	Count	Frequency (%)
י	5	16.1%
ו	5	16.1%
ב	4	12.9%
ר	4	12.9%
ע	2	6.5%
ת	2	6.5%
ה	2	6.5%
ד	1	3.2%
ש	1	3.2%
ל	1	3.2%
Other values (4)	4	12.9%

Value	Count	Frequency (%)
ღ	13	100.0%

Value	Count	Frequency (%)
한	7	10.0%
웃	3	4.3%
성	3	4.3%
스	2	2.9%
리	2	2.9%
고	2	2.9%
맨	2	2.9%
하	2	2.9%
소	2	2.9%
따	2	2.9%
Other values (38)	43	61.4%

Value	Count	Frequency (%)
▲	4	36.4%
◔	2	18.2%
△	2	18.2%
◈	2	18.2%
▶	1	9.1%

Value	Count	Frequency (%)
ॐ	2	100.0%

Value	Count	Frequency (%)
⋆	4	57.1%
√	2	28.6%
⊹	1	14.3%

Value	Count	Frequency (%)
⏩	1	33.3%
⏪	1	33.3%
⌚	1	33.3%

host_id
Real number (ℝ_≥0)

Distinct	35770
Distinct (%)	77.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	66451005.18
Minimum	2438
Maximum	274321313
Zeros	0
Zeros (%)	0.0%
Memory size	362.8 KiB

Quantile statistics

Minimum	2438
5-th percentile	807362.4
Q1	7719136.25
median	30321517.5
Q3	105640471
95-th percentile	238903945.7
Maximum	274321313
Range	274318875
Interquartile range (IQR)	97921334.75

Descriptive statistics

Standard deviation	77691272.84
Coefficient of variation (CV)	1.169151206
Kurtosis	0.2656304287
Mean	66451005.18
Median Absolute Deviation (MAD)	27027079.5
Skewness	1.235988162
Sum	3.085187268 × 10¹²
Variance	6.035933876 × 10¹⁵
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
219517861	272	0.6%
107434423	192	0.4%
137358866	103	0.2%
30283594	98	0.2%
12243051	95	0.2%
16098958	91	0.2%
61391963	91	0.2%
22541573	87	0.2%
1475015	52	0.1%
7503643	52	0.1%
Other values (35760)	45295	97.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2438	1	< 0.1%
2571	1	< 0.1%
2787	6	< 0.1%
2845	2	< 0.1%
2868	1	< 0.1%

Value	Count	Frequency (%)
274321313	1	< 0.1%
274311461	1	< 0.1%
274307600	1	< 0.1%
274298453	1	< 0.1%
274273284	1	< 0.1%

host_name
Categorical

HIGH CARDINALITY

Distinct	11081
Distinct (%)	23.9%
Missing	21
Missing (%)	< 0.1%
Memory size	362.8 KiB

Michael	395
David	375
John	279
Sonder (NYC)	272
Alex	260
Other values (11076)	44826

Length

Max length	35
Median length	6
Mean length	6.109595535
Min length	1

Characters and Unicode

Total characters	283528
Distinct characters	199
Distinct categories	14 ?
Distinct scripts	7 ?
Distinct blocks	8 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6646 ?
Unique (%)	14.3%

Sample

1st row	John
2nd row	Jennifer
3rd row	Elisabeth
4th row	LisaRoxanne
5th row	Laura

Value	Count	Frequency (%)
Michael	395	0.9%
David	375	0.8%
John	279	0.6%
Sonder (NYC)	272	0.6%
Alex	260	0.6%
Sarah	221	0.5%
Daniel	217	0.5%
Maria	199	0.4%
Blueground	192	0.4%
Jessica	188	0.4%
Other values (11071)	43809	94.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
	1055	2.0%
and	589	1.1%
michael	438	0.8%
david	416	0.8%
sonder	367	0.7%
john	319	0.6%
alex	309	0.6%
laura	284	0.5%
nyc	282	0.5%
maria	234	0.5%
Other values (9966)	47391	91.7%

Most occurring characters

Value	Count	Frequency (%)
a	36141	12.7%
e	27173	9.6%
i	23124	8.2%
n	22810	8.0%
r	16949	6.0%
l	14519	5.1%
o	12101	4.3%
t	8937	3.2%
s	8673	3.1%
h	8593	3.0%
Other values (189)	104508	36.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	223752	78.9%
Uppercase Letter	51840	18.3%
Space Separator	5372	1.9%
Other Punctuation	1509	0.5%
Open Punctuation	324	0.1%
Close Punctuation	322	0.1%
Dash Punctuation	198	0.1%
Other Letter	106	< 0.1%
Decimal Number	69	< 0.1%
Math Symbol	30	< 0.1%
Other values (4)	6	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
明	6	5.7%
青	5	4.7%
美	5	4.7%
德	5	4.7%
文	4	3.8%
常	3	2.8%
春	3	2.8%
铀	3	2.8%
正	2	1.9%
川	2	1.9%
Other values (58)	68	64.2%

Value	Count	Frequency (%)
a	36141	16.2%
e	27173	12.1%
i	23124	10.3%
n	22810	10.2%
r	16949	7.6%
l	14519	6.5%
o	12101	5.4%
t	8937	4.0%
s	8673	3.9%
h	8593	3.8%
Other values (54)	44732	20.0%

Value	Count	Frequency (%)
A	6068	11.7%
J	5146	9.9%
M	5070	9.8%
S	4477	8.6%
C	3531	6.8%
L	2760	5.3%
D	2616	5.0%
K	2511	4.8%
R	2374	4.6%
E	2270	4.4%
Other values (28)	15017	29.0%

Value	Count	Frequency (%)
5	16	23.2%
7	12	17.4%
0	11	15.9%
2	8	11.6%
4	7	10.1%
1	6	8.7%
3	3	4.3%
6	3	4.3%
8	2	2.9%
9	1	1.4%

Value	Count	Frequency (%)
&	1097	72.7%
.	294	19.5%
/	39	2.6%
,	35	2.3%
'	24	1.6%
@	8	0.5%
"	6	0.4%
!	4	0.3%
:	2	0.1%

Value	Count	Frequency (%)
	5366	99.9%
	6	0.1%

Value	Count	Frequency (%)
+	30	100.0%

Value	Count	Frequency (%)
(	324	100.0%

Value	Count	Frequency (%)
)	322	100.0%

Value	Count	Frequency (%)
-	198	100.0%

Value	Count	Frequency (%)
	2	100.0%

Value	Count	Frequency (%)
£	1	100.0%

Value	Count	Frequency (%)
_	1	100.0%

Value	Count	Frequency (%)
’	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	275536	97.2%
Common	7830	2.8%
Han	89	< 0.1%
Cyrillic	56	< 0.1%
Hangul	9	< 0.1%
Hebrew	5	< 0.1%
Hiragana	3	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
a	36141	13.1%
e	27173	9.9%
i	23124	8.4%
n	22810	8.3%
r	16949	6.2%
l	14519	5.3%
o	12101	4.4%
t	8937	3.2%
s	8673	3.1%
h	8593	3.1%
Other values (70)	96516	35.0%

Value	Count	Frequency (%)
明	6	6.7%
青	5	5.6%
美	5	5.6%
德	5	5.6%
文	4	4.5%
常	3	3.4%
春	3	3.4%
铀	3	3.4%
正	2	2.2%
川	2	2.2%
Other values (43)	51	57.3%

Value	Count	Frequency (%)
	5366	68.5%
&	1097	14.0%
(	324	4.1%
)	322	4.1%
.	294	3.8%
-	198	2.5%
/	39	0.5%
,	35	0.4%
+	30	0.4%
'	24	0.3%
Other values (19)	101	1.3%

Value	Count	Frequency (%)
е	6	10.7%
н	6	10.7%
а	6	10.7%
А	4	7.1%
л	4	7.1%
и	4	7.1%
к	3	5.4%
с	3	5.4%
й	3	5.4%
р	3	5.4%
Other values (12)	14	25.0%

Value	Count	Frequency (%)
소	2	22.2%
정	2	22.2%
단	1	11.1%
비	1	11.1%
진	1	11.1%
빈	1	11.1%
나	1	11.1%

Value	Count	Frequency (%)
ד	1	20.0%
נ	1	20.0%
י	1	20.0%
א	1	20.0%
ל	1	20.0%

Value	Count	Frequency (%)
ゆ	1	33.3%
り	1	33.3%
あ	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	283116	99.9%
None	240	0.1%
CJK	89	< 0.1%
Cyrillic	56	< 0.1%
Punctuation	10	< 0.1%
Hangul	9	< 0.1%
Hebrew	5	< 0.1%
Hiragana	3	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
a	36141	12.8%
e	27173	9.6%
i	23124	8.2%
n	22810	8.1%
r	16949	6.0%
l	14519	5.1%
o	12101	4.3%
t	8937	3.2%
s	8673	3.1%
h	8593	3.0%
Other values (67)	104096	36.8%

Value	Count	Frequency (%)
é	104	43.3%
í	23	9.6%
á	20	8.3%
ú	19	7.9%
ë	13	5.4%
ô	11	4.6%
ó	9	3.8%
è	7	2.9%
ç	5	2.1%
ï	4	1.7%
Other values (19)	25	10.4%

Value	Count	Frequency (%)
明	6	6.7%
青	5	5.6%
美	5	5.6%
德	5	5.6%
文	4	4.5%
常	3	3.4%
春	3	3.4%
铀	3	3.4%
正	2	2.2%
川	2	2.2%
Other values (43)	51	57.3%

Value	Count	Frequency (%)
	6	60.0%
	2	20.0%
’	2	20.0%

Value	Count	Frequency (%)
소	2	22.2%
정	2	22.2%
단	1	11.1%
비	1	11.1%
진	1	11.1%
빈	1	11.1%
나	1	11.1%

Value	Count	Frequency (%)
е	6	10.7%
н	6	10.7%
а	6	10.7%
А	4	7.1%
л	4	7.1%
и	4	7.1%
к	3	5.4%
с	3	5.4%
й	3	5.4%
р	3	5.4%
Other values (12)	14	25.0%

Value	Count	Frequency (%)
ד	1	20.0%
נ	1	20.0%
י	1	20.0%
א	1	20.0%
ל	1	20.0%

Value	Count	Frequency (%)
ゆ	1	33.3%
り	1	33.3%
あ	1	33.3%

neighbourhood_group
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	362.8 KiB

Manhattan	19855
Brooklyn	19550
Queens	5586
Bronx	1072
Staten Island	365

Length

Max length	13
Median length	8
Mean length	8.157060395
Min length	5

Characters and Unicode

Total characters	378716
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Brooklyn
2nd row	Manhattan
3rd row	Manhattan
4th row	Brooklyn
5th row	Manhattan

Value	Count	Frequency (%)
Manhattan	19855	42.8%
Brooklyn	19550	42.1%
Queens	5586	12.0%
Bronx	1072	2.3%
Staten Island	365	0.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
manhattan	19855	42.4%
brooklyn	19550	41.8%
queens	5586	11.9%
bronx	1072	2.3%
island	365	0.8%
staten	365	0.8%

Most occurring characters

Value	Count	Frequency (%)
n	66648	17.6%
a	60295	15.9%
t	40440	10.7%
o	40172	10.6%
B	20622	5.4%
r	20622	5.4%
l	19915	5.3%
M	19855	5.2%
h	19855	5.2%
k	19550	5.2%
Other values (10)	50742	13.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	331558	87.5%
Uppercase Letter	46793	12.4%
Space Separator	365	0.1%

Most frequent character per category

Value	Count	Frequency (%)
n	66648	20.1%
a	60295	18.2%
t	40440	12.2%
o	40172	12.1%
r	20622	6.2%
l	19915	6.0%
h	19855	6.0%
k	19550	5.9%
y	19550	5.9%
e	11537	3.5%
Other values (4)	12974	3.9%

Value	Count	Frequency (%)
B	20622	44.1%
M	19855	42.4%
Q	5586	11.9%
S	365	0.8%
I	365	0.8%

Value	Count	Frequency (%)
	365	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	378351	99.9%
Common	365	0.1%

Most frequent character per script

Value	Count	Frequency (%)
n	66648	17.6%
a	60295	15.9%
t	40440	10.7%
o	40172	10.6%
B	20622	5.5%
r	20622	5.5%
l	19915	5.3%
M	19855	5.2%
h	19855	5.2%
k	19550	5.2%
Other values (9)	50377	13.3%

Value	Count	Frequency (%)
	365	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	378716	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	66648	17.6%
a	60295	15.9%
t	40440	10.7%
o	40172	10.6%
B	20622	5.4%
r	20622	5.4%
l	19915	5.3%
M	19855	5.2%
h	19855	5.2%
k	19550	5.2%
Other values (10)	50742	13.4%

neighbourhood
Categorical

HIGH CARDINALITY

Distinct	219
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	362.8 KiB

Williamsburg	3771
Bedford-Stuyvesant	3647
Harlem	2599
Bushwick	2442
Upper West Side	1814
Other values (214)	32155

Length

Max length	26
Median length	12
Mean length	11.92599294
Min length	4

Characters and Unicode

Total characters	553700
Distinct characters	54
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	Kensington
2nd row	Midtown
3rd row	Harlem
4th row	Clinton Hill
5th row	East Harlem

Value	Count	Frequency (%)
Williamsburg	3771	8.1%
Bedford-Stuyvesant	3647	7.9%
Harlem	2599	5.6%
Bushwick	2442	5.3%
Upper West Side	1814	3.9%
Hell's Kitchen	1769	3.8%
East Village	1737	3.7%
Upper East Side	1692	3.6%
Crown Heights	1528	3.3%
Midtown	1211	2.6%
Other values (209)	24218	52.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
east	6298	8.4%
side	4376	5.8%
williamsburg	3771	5.0%
harlem	3693	4.9%
bedford-stuyvesant	3647	4.9%
upper	3506	4.7%
heights	3504	4.7%
village	2905	3.9%
west	2502	3.3%
bushwick	2442	3.3%
Other values (231)	38317	51.1%

Most occurring characters

Value	Count	Frequency (%)
e	50730	9.2%
i	39813	7.2%
s	37999	6.9%
t	36585	6.6%
a	35885	6.5%
l	32481	5.9%
r	32219	5.8%
	28533	5.2%
n	24857	4.5%
o	22938	4.1%
Other values (44)	211660	38.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	439490	79.4%
Uppercase Letter	79604	14.4%
Space Separator	28533	5.2%
Dash Punctuation	4172	0.8%
Other Punctuation	1901	0.3%

Most frequent character per category

Value	Count	Frequency (%)
e	50730	11.5%
i	39813	9.1%
s	37999	8.6%
t	36585	8.3%
a	35885	8.2%
l	32481	7.4%
r	32219	7.3%
n	24857	5.7%
o	22938	5.2%
d	18794	4.3%
Other values (15)	107189	24.4%

Value	Count	Frequency (%)
H	11337	14.2%
S	10953	13.8%
B	8190	10.3%
W	7758	9.7%
E	6784	8.5%
C	5040	6.3%
U	3567	4.5%
G	3554	4.5%
F	3112	3.9%
V	2947	3.7%
Other values (14)	16362	20.6%

Value	Count	Frequency (%)
'	1778	93.5%
.	121	6.4%
,	2	0.1%

Value	Count	Frequency (%)
	28533	100.0%

Value	Count	Frequency (%)
-	4172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	519094	93.8%
Common	34606	6.2%

Most frequent character per script

Value	Count	Frequency (%)
e	50730	9.8%
i	39813	7.7%
s	37999	7.3%
t	36585	7.0%
a	35885	6.9%
l	32481	6.3%
r	32219	6.2%
n	24857	4.8%
o	22938	4.4%
d	18794	3.6%
Other values (39)	186793	36.0%

Value	Count	Frequency (%)
	28533	82.5%
-	4172	12.1%
'	1778	5.1%
.	121	0.3%
,	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	553700	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	50730	9.2%
i	39813	7.2%
s	37999	6.9%
t	36585	6.6%
a	35885	6.5%
l	32481	5.9%
r	32219	5.8%
	28533	5.2%
n	24857	4.5%
o	22938	4.1%
Other values (44)	211660	38.2%

latitude
Real number (ℝ_≥0)

Distinct	18791
Distinct (%)	40.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	40.72857167
Minimum	40.49979
Maximum	40.91306
Zeros	0
Zeros (%)	0.0%
Memory size	362.8 KiB

Quantile statistics

Minimum	40.49979
5-th percentile	40.64538
Q1	40.68936
median	40.72201
Q3	40.76333
95-th percentile	40.826463
Maximum	40.91306
Range	0.41327
Interquartile range (IQR)	0.07397

Descriptive statistics

Standard deviation	0.05519047241
Coefficient of variation (CV)	0.001355079988
Kurtosis	0.09972499142
Mean	40.72857167
Median Absolute Deviation (MAD)	0.03641
Skewness	0.2583660389
Sum	1890946.126
Variance	0.003045988245
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40.71813	18	< 0.1%
40.69414	13	< 0.1%
40.68444	13	< 0.1%
40.68634	13	< 0.1%
40.71353	12	< 0.1%
40.71171	12	< 0.1%
40.68537	12	< 0.1%
40.76189	11	< 0.1%
40.71923	11	< 0.1%
40.76125	11	< 0.1%
Other values (18781)	46302	99.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
40.49979	1	< 0.1%
40.50641	1	< 0.1%
40.50708	1	< 0.1%
40.50868	1	< 0.1%
40.50873	1	< 0.1%

Value	Count	Frequency (%)
40.91306	1	< 0.1%
40.91234	1	< 0.1%
40.91169	1	< 0.1%
40.91167	1	< 0.1%
40.90804	1	< 0.1%

longitude
Real number (ℝ)

Distinct	14563
Distinct (%)	31.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-73.950968
Minimum	-74.24442
Maximum	-73.71299
Zeros	0
Zeros (%)	0.0%
Memory size	362.8 KiB

Quantile statistics

Minimum	-74.24442
5-th percentile	-74.00326
Q1	-73.9821
median	-73.95457
Q3	-73.9346275
95-th percentile	-73.86389
Maximum	-73.71299
Range	0.53143
Interquartile range (IQR)	0.0474725

Descriptive statistics

Standard deviation	0.04638583239
Coefficient of variation (CV)	-0.0006272511861
Kurtosis	4.939479054
Mean	-73.950968
Median Absolute Deviation (MAD)	0.02488
Skewness	1.249716322
Sum	-3433395.542
Variance	0.002151645447
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-73.95677	18	< 0.1%
-73.95427	17	< 0.1%
-73.9506	16	< 0.1%
-73.94791	16	< 0.1%
-73.95136	16	< 0.1%
-73.95405	16	< 0.1%
-73.95332	16	< 0.1%
-73.95725	15	< 0.1%
-73.98439	15	< 0.1%
-73.94537	15	< 0.1%
Other values (14553)	46268	99.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-74.24442	1	< 0.1%
-74.24285	1	< 0.1%
-74.24084	1	< 0.1%
-74.23986	1	< 0.1%
-74.23914	1	< 0.1%

Value	Count	Frequency (%)
-73.71299	1	< 0.1%
-73.7169	1	< 0.1%
-73.71795	1	< 0.1%
-73.71829	1	< 0.1%
-73.71928	1	< 0.1%

room_type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	362.8 KiB

Entire home/apt	23252
Private room	22036
Shared room	1140

Length

Max length	15
Median length	15
Mean length	13.47790127
Min length	11

Characters and Unicode

Total characters	625752
Distinct characters	17
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Private room
2nd row	Entire home/apt
3rd row	Private room
4th row	Entire home/apt
5th row	Entire home/apt

Value	Count	Frequency (%)
Entire home/apt	23252	50.1%
Private room	22036	47.5%
Shared room	1140	2.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
home/apt	23252	25.0%
entire	23252	25.0%
room	23176	25.0%
private	22036	23.7%
shared	1140	1.2%

Most occurring characters

Value	Count	Frequency (%)
e	69680	11.1%
r	69604	11.1%
o	69604	11.1%
t	68540	11.0%
a	46428	7.4%
	46428	7.4%
m	46428	7.4%
i	45288	7.2%
h	24392	3.9%
E	23252	3.7%
Other values (7)	116108	18.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	509644	81.4%
Uppercase Letter	46428	7.4%
Space Separator	46428	7.4%
Other Punctuation	23252	3.7%

Most frequent character per category

Value	Count	Frequency (%)
e	69680	13.7%
r	69604	13.7%
o	69604	13.7%
t	68540	13.4%
a	46428	9.1%
m	46428	9.1%
i	45288	8.9%
h	24392	4.8%
n	23252	4.6%
p	23252	4.6%
Other values (2)	23176	4.5%

Value	Count	Frequency (%)
E	23252	50.1%
P	22036	47.5%
S	1140	2.5%

Value	Count	Frequency (%)
	46428	100.0%

Value	Count	Frequency (%)
/	23252	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	556072	88.9%
Common	69680	11.1%

Most frequent character per script

Value	Count	Frequency (%)
e	69680	12.5%
r	69604	12.5%
o	69604	12.5%
t	68540	12.3%
a	46428	8.3%
m	46428	8.3%
i	45288	8.1%
h	24392	4.4%
E	23252	4.2%
n	23252	4.2%
Other values (5)	69604	12.5%

Value	Count	Frequency (%)
	46428	66.6%
/	23252	33.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	625752	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	69680	11.1%
r	69604	11.1%
o	69604	11.1%
t	68540	11.0%
a	46428	7.4%
	46428	7.4%
m	46428	7.4%
i	45288	7.2%
h	24392	3.9%
E	23252	3.7%
Other values (7)	116108	18.6%

price
Real number (ℝ_≥0)

Distinct	337
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	122.5380159
Minimum	10
Maximum	350
Zeros	0
Zeros (%)	0.0%
Memory size	362.8 KiB

Quantile statistics

Minimum	10
5-th percentile	40
Q1	65
median	100
Q3	160
95-th percentile	275
Maximum	350
Range	340
Interquartile range (IQR)	95

Descriptive statistics

Standard deviation	71.86258104
Coefficient of variation (CV)	0.5864513191
Kurtosis	0.5184784007
Mean	122.5380159
Median Absolute Deviation (MAD)	44
Skewness	1.030664416
Sum	5689195
Variance	5164.230553
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	2051	4.4%
150	2047	4.4%
50	1534	3.3%
60	1458	3.1%
200	1401	3.0%
75	1370	3.0%
80	1272	2.7%
65	1190	2.6%
70	1170	2.5%
120	1130	2.4%
Other values (327)	31805	68.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	17	< 0.1%
11	3	< 0.1%
12	4	< 0.1%
13	1	< 0.1%
15	6	< 0.1%

Value	Count	Frequency (%)
350	381	0.8%
349	45	0.1%
348	3	< 0.1%
347	4	< 0.1%
346	2	< 0.1%

minimum_nights
Real number (ℝ_≥0)

SKEWED

Distinct	107
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.943180839
Minimum	1
Maximum	1250
Zeros	0
Zeros (%)	0.0%
Memory size	362.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	5
95-th percentile	30
Maximum	1250
Range	1249
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	19.8775096
Coefficient of variation (CV)	2.86288231
Kurtosis	873.9314378
Mean	6.943180839
Median Absolute Deviation (MAD)	1
Skewness	21.79076237
Sum	322358
Variance	395.1153878
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	12148	26.2%
2	11199	24.1%
3	7506	16.2%
30	3534	7.6%
4	3106	6.7%
5	2854	6.1%
7	1975	4.3%
6	694	1.5%
14	543	1.2%
10	464	1.0%
Other values (97)	2405	5.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	12148	26.2%
2	11199	24.1%
3	7506	16.2%
4	3106	6.7%
5	2854	6.1%

Value	Count	Frequency (%)
1250	1	< 0.1%
999	3	< 0.1%
500	5	< 0.1%
480	1	< 0.1%
400	1	< 0.1%

number_of_reviews
Real number (ℝ_≥0)

ZEROS

Distinct	393
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	23.82771173
Minimum	0
Maximum	629
Zeros	9182
Zeros (%)	19.8%
Memory size	362.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	5
Q3	24
95-th percentile	116
Maximum	629
Range	629
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	45.190521
Coefficient of variation (CV)	1.896553119
Kurtosis	18.94434683
Mean	23.82771173
Median Absolute Deviation (MAD)	5
Skewness	3.640349972
Sum	1106273
Variance	2042.183188
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9182	19.8%
1	4976	10.7%
2	3318	7.1%
3	2390	5.1%
4	1918	4.1%
5	1526	3.3%
6	1297	2.8%
7	1130	2.4%
8	1080	2.3%
9	924	2.0%
Other values (383)	18687	40.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9182	19.8%
1	4976	10.7%
2	3318	7.1%
3	2390	5.1%
4	1918	4.1%

Value	Count	Frequency (%)
629	1	< 0.1%
607	1	< 0.1%
597	1	< 0.1%
594	1	< 0.1%
576	1	< 0.1%

last_review
Date

MISSING

Distinct	1754
Distinct (%)	4.7%
Missing	9182
Missing (%)	19.8%
Memory size	362.8 KiB

Minimum	2011-03-28 00:00:00
Maximum	2019-07-08 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

reviews_per_month
Real number (ℝ_≥0)

MISSING

Distinct	936
Distinct (%)	2.5%
Missing	9182
Missing (%)	19.8%
Infinite	0
Infinite (%)	0.0%

Mean	1.377473017
Minimum	0.01
Maximum	58.5
Zeros	0
Zeros (%)	0.0%
Memory size	362.8 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.04
Q1	0.19
median	0.715
Q3	2.02
95-th percentile	4.67
Maximum	58.5
Range	58.49
Interquartile range (IQR)	1.83

Descriptive statistics

Standard deviation	1.690493397
Coefficient of variation (CV)	1.227242476
Kurtosis	43.0992735
Mean	1.377473017
Median Absolute Deviation (MAD)	0.615
Skewness	3.154919504
Sum	51305.36
Variance	2.857767925
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.02	886	1.9%
0.05	856	1.8%
1	828	1.8%
0.03	772	1.7%
0.04	639	1.4%
0.16	638	1.4%
0.08	580	1.2%
0.09	564	1.2%
0.06	557	1.2%
0.11	527	1.1%
Other values (926)	30399	65.5%
(Missing)	9182	19.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.01	40	0.1%
0.02	886	1.9%
0.03	772	1.7%
0.04	639	1.4%
0.05	856	1.8%

Value	Count	Frequency (%)
58.5	1	< 0.1%
27.95	1	< 0.1%
20.94	1	< 0.1%
19.75	1	< 0.1%
17.82	1	< 0.1%

calculated_host_listings_count
Real number (ℝ_≥0)

Distinct	47
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.672503662
Minimum	1
Maximum	327
Zeros	0
Zeros (%)	0.0%
Memory size	362.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	13
Maximum	327
Range	326
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	31.0834363
Coefficient of variation (CV)	4.658436754
Kurtosis	75.60395988
Mean	6.672503662
Median Absolute Deviation (MAD)	0
Skewness	8.350507449
Sum	309791
Variance	966.180012
Monotocity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
1	30677	66.1%
2	6436	13.9%
3	2745	5.9%
4	1354	2.9%
5	808	1.7%
6	529	1.1%
8	396	0.9%
7	390	0.8%
327	272	0.6%
9	225	0.5%
Other values (37)	2596	5.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	30677	66.1%
2	6436	13.9%
3	2745	5.9%
4	1354	2.9%
5	808	1.7%

Value	Count	Frequency (%)
327	272	0.6%
232	192	0.4%
121	98	0.2%
103	103	0.2%
96	186	0.4%

availability_365
Real number (ℝ_≥0)

ZEROS

Distinct	366
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	109.6768545
Minimum	0
Maximum	365
Zeros	17005
Zeros (%)	36.6%
Memory size	362.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	40
Q3	217
95-th percentile	358
Maximum	365
Range	365
Interquartile range (IQR)	217

Descriptive statistics

Standard deviation	130.4139522
Coefficient of variation (CV)	1.189074512
Kurtosis	-0.9227839215
Mean	109.6768545
Median Absolute Deviation (MAD)	40
Skewness	0.8064281257
Sum	5092077
Variance	17007.79893
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	17005	36.6%
365	1122	2.4%
364	430	0.9%
1	397	0.9%
89	334	0.7%
5	333	0.7%
3	296	0.6%
179	273	0.6%
90	270	0.6%
2	254	0.5%
Other values (356)	25714	55.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	17005	36.6%
1	397	0.9%
2	254	0.5%
3	296	0.6%
4	227	0.5%

Value	Count	Frequency (%)
365	1122	2.4%
364	430	0.9%
363	215	0.5%
362	150	0.3%
361	101	0.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	id	name	host_id	host_name	neighbourhood_group	neighbourhood	latitude	longitude	room_type	price	minimum_nights	number_of_reviews	last_review	reviews_per_month	calculated_host_listings_count	availability_365
0	0	2539	Clean & quiet apt home by the park	2787	John	Brooklyn	Kensington	40.64749	-73.97237	Private room	149	1	9	2018-10-19	0.21	6	365
1	1	2595	Skylit Midtown Castle	2845	Jennifer	Manhattan	Midtown	40.75362	-73.98377	Entire home/apt	225	1	45	2019-05-21	0.38	2	355
2	2	3647	THE VILLAGE OF HARLEM....NEW YORK !	4632	Elisabeth	Manhattan	Harlem	40.80902	-73.94190	Private room	150	3	0	NaT	NaN	1	365
3	3	3831	Cozy Entire Floor of Brownstone	4869	LisaRoxanne	Brooklyn	Clinton Hill	40.68514	-73.95976	Entire home/apt	89	1	270	2019-07-05	4.64	1	194
4	4	5022	Entire Apt: Spacious Studio/Loft by central park	7192	Laura	Manhattan	East Harlem	40.79851	-73.94399	Entire home/apt	80	10	9	2018-11-19	0.10	1	0
5	5	5099	Large Cozy 1 BR Apartment In Midtown East	7322	Chris	Manhattan	Murray Hill	40.74767	-73.97500	Entire home/apt	200	3	74	2019-06-22	0.59	1	129
6	6	5121	BlissArtsSpace!	7356	Garon	Brooklyn	Bedford-Stuyvesant	40.68688	-73.95596	Private room	60	45	49	2017-10-05	0.40	1	0
7	7	5178	Large Furnished Room Near B'way	8967	Shunichi	Manhattan	Hell's Kitchen	40.76489	-73.98493	Private room	79	2	430	2019-06-24	3.47	1	220
8	8	5203	Cozy Clean Guest Room - Family Apt	7490	MaryEllen	Manhattan	Upper West Side	40.80178	-73.96723	Private room	79	2	118	2017-07-21	0.99	1	0
9	9	5238	Cute & Cozy Lower East Side 1 bdrm	7549	Ben	Manhattan	Chinatown	40.71344	-73.99037	Entire home/apt	150	1	160	2019-06-09	1.33	4	188

Last rows

	df_index	id	name	host_id	host_name	neighbourhood_group	neighbourhood	latitude	longitude	room_type	price	minimum_nights	last_review	reviews_per_month	calculated_host_listings_count	availability_365
46418	48885	36482809	Stunning Bedroom NYC! Walking to Central Park!!	131529729	Kendall	Manhattan	East Harlem	40.79633	-73.93605	Private room	75	2	NaT	NaN	2	353
46419	48886	36483010	Comfy 1 Bedroom in Midtown East	274311461	Scott	Manhattan	Midtown	40.75561	-73.96723	Entire home/apt	200	6	NaT	NaN	1	176
46420	48887	36483152	Garden Jewel Apartment in Williamsburg New York	208514239	Melki	Brooklyn	Williamsburg	40.71232	-73.94220	Entire home/apt	170	1	NaT	NaN	3	365
46421	48888	36484087	Spacious Room w/ Private Rooftop, Central location	274321313	Kat	Manhattan	Hell's Kitchen	40.76392	-73.99183	Private room	125	4	NaT	NaN	1	31
46422	48889	36484363	QUIT PRIVATE HOUSE	107716952	Michael	Queens	Jamaica	40.69137	-73.80844	Private room	65	1	NaT	NaN	2	163
46423	48890	36484665	Charming one bedroom - newly renovated rowhouse	8232441	Sabrina	Brooklyn	Bedford-Stuyvesant	40.67853	-73.94995	Private room	70	2	NaT	NaN	2	9
46424	48891	36485057	Affordable room in Bushwick/East Williamsburg	6570630	Marisol	Brooklyn	Bushwick	40.70184	-73.93317	Private room	40	4	NaT	NaN	2	36
46425	48892	36485431	Sunny Studio at Historical Neighborhood	23492952	Ilgar & Aysel	Manhattan	Harlem	40.81475	-73.94867	Entire home/apt	115	10	NaT	NaN	1	27
46426	48893	36485609	43rd St. Time Square-cozy single bed	30985759	Taz	Manhattan	Hell's Kitchen	40.75751	-73.99112	Shared room	55	1	NaT	NaN	6	2
46427	48894	36487245	Trendy duplex in the very heart of Hell's Kitchen	68119814	Christophe	Manhattan	Hell's Kitchen	40.76404	-73.98933	Private room	90	7	NaT	NaN	1	23

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows